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Published in: Annals of Nuclear Medicine 7/2015

01-08-2015 | Original Article

Prognostic value of semi-quantitative tumor uptake on Tc-99m sestamibi breast-specific gamma imaging in invasive ductal breast cancer

Authors: Hai-Jeon Yoon, Yemi Kim, Kyu-Tae Chang, Bom Sahn Kim

Published in: Annals of Nuclear Medicine | Issue 7/2015

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Abstract

Objectives

This study investigated the prognostic value of preoperative breast-specific gamma imaging (BSGI) uptake measured by a semi-quantitative method in invasive ductal carcinoma (IDC).

Methods

One hundred and sixty-two women with IDC who underwent preoperative BSGI were retrospectively enrolled. The tumor-to-normal tissue ratio (TNR) was measured on BSGI and correlated with histologic prognostic factors. The prognostic impact of TNR was tested with regard to progression-free survival (PFS) and compared with established prognostic factors.

Results

High TNR was significantly correlated with tumor size >2 cm (p < 0.001), high nuclear grade (p = 0.04), high histologic grade (p = 0.01), axillary node positivity (p = 0.04), ER negativity (p = 0.03), HER2 positivity (p = 0.01), and high MIB-1 index (p = 0.001). Among 162 patients, 14 experienced recurrence during mean follow-up time of 34.7 ± 14.9 months. In Kaplan–Meier survival analyses, high TNR (p < 0.001), high nuclear grade (p = 0.02), high histologic grade (p = 0.007), ER/PR negativity (p = 0.003 and p < 0.001, respectively), HER2 positivity (p = 0.01), triple negativity (p = 0.02), and high MIB-1 index (p = 0.02) showed a significant relationship with poor prognosis. Among them, high TNR was an independent poor prognostic factor in a multivariate regression analysis (p = 0.01).

Conclusions

High BSGI uptake measured by a semi-quantitative method was correlated with diverse poor histologic prognostic factors and was an independent poor prognostic factor in invasive ductal cancer.
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Metadata
Title
Prognostic value of semi-quantitative tumor uptake on Tc-99m sestamibi breast-specific gamma imaging in invasive ductal breast cancer
Authors
Hai-Jeon Yoon
Yemi Kim
Kyu-Tae Chang
Bom Sahn Kim
Publication date
01-08-2015
Publisher
Springer Japan
Published in
Annals of Nuclear Medicine / Issue 7/2015
Print ISSN: 0914-7187
Electronic ISSN: 1864-6433
DOI
https://doi.org/10.1007/s12149-015-0977-3

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